Triple
T18277819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Cergue |
E437782
|
entity |
| Predicate | hasLandscape |
P940
|
FINISHED |
| Object | Jura forests |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jura forests | Statement: [Saint-Cergue, hasLandscape, Jura forests]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jura forests Context triple: [Saint-Cergue, hasLandscape, Jura forests]
-
A.
Vosges forests
The Vosges forests are extensive, densely wooded mountain landscapes in northeastern France, known for their scenic hiking trails, biodiversity, and role in the broader Vosges mountain range.
-
B.
Broceliande forest region
The Broceliande forest region is a legendary woodland in Brittany, France, famed in Arthurian myth as an enchanted landscape linked to Merlin, the Lady of the Lake, and other medieval tales.
-
C.
Forêt d’Arenberg
Forêt d’Arenberg is a historic forest in northern France famed for its brutal cobbled sector that features prominently in the Paris–Roubaix cycling race.
-
D.
Forêt d’Écouves
Forêt d’Écouves is a large, historic forest in Normandy, France, known for its extensive woodlands, diverse wildlife, and role as a major natural area within the Orne department.
-
E.
Hohenlinden forest
Hohenlinden forest is a wooded area in Bavaria, Germany, historically known as the site of the 1800 Battle of Hohenlinden during the French Revolutionary Wars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jura forests Target entity description: The Jura forests are extensive, high-altitude woodlands in the Jura Mountains known for their dense conifer stands, rich biodiversity, and scenic hiking and skiing terrain.
-
A.
Vosges forests
The Vosges forests are extensive, densely wooded mountain landscapes in northeastern France, known for their scenic hiking trails, biodiversity, and role in the broader Vosges mountain range.
-
B.
Broceliande forest region
The Broceliande forest region is a legendary woodland in Brittany, France, famed in Arthurian myth as an enchanted landscape linked to Merlin, the Lady of the Lake, and other medieval tales.
-
C.
Forêt d’Arenberg
Forêt d’Arenberg is a historic forest in northern France famed for its brutal cobbled sector that features prominently in the Paris–Roubaix cycling race.
-
D.
Forêt d’Écouves
Forêt d’Écouves is a large, historic forest in Normandy, France, known for its extensive woodlands, diverse wildlife, and role as a major natural area within the Orne department.
-
E.
Hohenlinden forest
Hohenlinden forest is a wooded area in Bavaria, Germany, historically known as the site of the 1800 Battle of Hohenlinden during the French Revolutionary Wars.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50053cc808190b46a3ec9d96936fe |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.